Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 374 |
| Missing cells | 219 |
| Missing cells (%) | 4.5% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 38.1 KiB |
| Average record size in memory | 104.4 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 5 |
Sleep Disorder has 219 (58.6%) missing values | Missing |
Person ID is uniformly distributed | Uniform |
Person ID has unique values | Unique |
Reproduction
| Analysis started | 2024-05-01 19:18:40.092975 |
|---|---|
| Analysis finished | 2024-05-01 19:18:43.466790 |
| Duration | 3.37 seconds |
| Software version | ydata-profiling vv4.7.0 |
| Download configuration | config.json |
Person ID
Real number (ℝ)
UNIFORM UNIQUE
| Distinct | 374 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 187.5 |
| Minimum | 1 |
|---|---|
| Maximum | 374 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 19.65 |
| Q1 | 94.25 |
| median | 187.5 |
| Q3 | 280.75 |
| 95-th percentile | 355.35 |
| Maximum | 374 |
| Range | 373 |
| Interquartile range (IQR) | 186.5 |
Descriptive statistics
| Standard deviation | 108.10874 |
|---|---|
| Coefficient of variation (CV) | 0.57657995 |
| Kurtosis | -1.2 |
| Mean | 187.5 |
| Median Absolute Deviation (MAD) | 93.5 |
| Skewness | 0 |
| Sum | 70125 |
| Variance | 11687.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.3% |
| 247 | 1 | 0.3% |
| 256 | 1 | 0.3% |
| 255 | 1 | 0.3% |
| 254 | 1 | 0.3% |
| 253 | 1 | 0.3% |
| 252 | 1 | 0.3% |
| 251 | 1 | 0.3% |
| 250 | 1 | 0.3% |
| 249 | 1 | 0.3% |
| Other values (364) | 364 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 374 | 1 | |
| 373 | 1 | |
| 372 | 1 | |
| 371 | 1 | |
| 370 | 1 | |
| 369 | 1 | |
| 368 | 1 | |
| 367 | 1 | |
| 366 | 1 | |
| 365 | 1 |
Gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.9893048 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1866 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Male |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 189 | |
| Female | 185 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| male | 189 | |
| female | 185 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 559 | |
| a | 374 | |
| l | 374 | |
| M | 189 | 10.1% |
| F | 185 | 9.9% |
| m | 185 | 9.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1866 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 559 | |
| a | 374 | |
| l | 374 | |
| M | 189 | 10.1% |
| F | 185 | 9.9% |
| m | 185 | 9.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1866 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 559 | |
| a | 374 | |
| l | 374 | |
| M | 189 | 10.1% |
| F | 185 | 9.9% |
| m | 185 | 9.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1866 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 559 | |
| a | 374 | |
| l | 374 | |
| M | 189 | 10.1% |
| F | 185 | 9.9% |
| m | 185 | 9.9% |
Age
Real number (ℝ)
| Distinct | 31 |
|---|---|
| Distinct (%) | 8.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 42.184492 |
| Minimum | 27 |
|---|---|
| Maximum | 59 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 27 |
|---|---|
| 5-th percentile | 29.65 |
| Q1 | 35.25 |
| median | 43 |
| Q3 | 50 |
| 95-th percentile | 58 |
| Maximum | 59 |
| Range | 32 |
| Interquartile range (IQR) | 14.75 |
Descriptive statistics
| Standard deviation | 8.6731335 |
|---|---|
| Coefficient of variation (CV) | 0.20560005 |
| Kurtosis | -0.90977955 |
| Mean | 42.184492 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.25722214 |
| Sum | 15777 |
| Variance | 75.223244 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 43 | 34 | 9.1% |
| 44 | 30 | 8.0% |
| 37 | 20 | 5.3% |
| 38 | 20 | 5.3% |
| 50 | 20 | 5.3% |
| 31 | 18 | 4.8% |
| 32 | 17 | 4.5% |
| 53 | 17 | 4.5% |
| 59 | 16 | 4.3% |
| 39 | 15 | 4.0% |
| Other values (21) | 167 |
| Value | Count | Frequency (%) |
| 27 | 1 | 0.3% |
| 28 | 5 | 1.3% |
| 29 | 13 | |
| 30 | 13 | |
| 31 | 18 | |
| 32 | 17 | |
| 33 | 13 | |
| 34 | 2 | 0.5% |
| 35 | 12 | |
| 36 | 12 |
| Value | Count | Frequency (%) |
| 59 | 16 | |
| 58 | 6 | 1.6% |
| 57 | 9 | |
| 56 | 2 | 0.5% |
| 55 | 2 | 0.5% |
| 54 | 7 | 1.9% |
| 53 | 17 | |
| 52 | 9 | |
| 51 | 8 | 2.1% |
| 50 | 20 |
Occupation
Categorical
| Distinct | 11 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| Nurse | |
|---|---|
| Doctor | |
| Engineer | |
| Lawyer | |
| Teacher | |
| Other values (6) |
Length
| Max length | 20 |
|---|---|
| Median length | 17 |
| Mean length | 7.2994652 |
| Min length | 5 |
Characters and Unicode
| Total characters | 2730 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | Software Engineer |
|---|---|
| 2nd row | Doctor |
| 3rd row | Doctor |
| 4th row | Sales Representative |
| 5th row | Sales Representative |
Common Values
| Value | Count | Frequency (%) |
| Nurse | 73 | |
| Doctor | 71 | |
| Engineer | 63 | |
| Lawyer | 47 | |
| Teacher | 40 | |
| Accountant | 37 | |
| Salesperson | 32 | |
| Software Engineer | 4 | 1.1% |
| Scientist | 4 | 1.1% |
| Sales Representative | 2 | 0.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| nurse | 73 | |
| doctor | 71 | |
| engineer | 67 | |
| lawyer | 47 | |
| teacher | 40 | |
| accountant | 37 | |
| salesperson | 32 | |
| software | 4 | 1.1% |
| scientist | 4 | 1.1% |
| sales | 2 | 0.5% |
| Other values (2) | 3 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 417 | |
| r | 337 | |
| n | 247 | 9.0% |
| o | 215 | 7.9% |
| c | 189 | 6.9% |
| a | 166 | 6.1% |
| t | 161 | 5.9% |
| s | 145 | 5.3% |
| u | 110 | 4.0% |
| i | 77 | 2.8% |
| Other values (18) | 666 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2730 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 417 | |
| r | 337 | |
| n | 247 | 9.0% |
| o | 215 | 7.9% |
| c | 189 | 6.9% |
| a | 166 | 6.1% |
| t | 161 | 5.9% |
| s | 145 | 5.3% |
| u | 110 | 4.0% |
| i | 77 | 2.8% |
| Other values (18) | 666 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2730 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 417 | |
| r | 337 | |
| n | 247 | 9.0% |
| o | 215 | 7.9% |
| c | 189 | 6.9% |
| a | 166 | 6.1% |
| t | 161 | 5.9% |
| s | 145 | 5.3% |
| u | 110 | 4.0% |
| i | 77 | 2.8% |
| Other values (18) | 666 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2730 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 417 | |
| r | 337 | |
| n | 247 | 9.0% |
| o | 215 | 7.9% |
| c | 189 | 6.9% |
| a | 166 | 6.1% |
| t | 161 | 5.9% |
| s | 145 | 5.3% |
| u | 110 | 4.0% |
| i | 77 | 2.8% |
| Other values (18) | 666 |
Sleep Duration
Real number (ℝ)
| Distinct | 27 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.1320856 |
| Minimum | 5.8 |
|---|---|
| Maximum | 8.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 5.8 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 6.4 |
| median | 7.2 |
| Q3 | 7.8 |
| 95-th percentile | 8.4 |
| Maximum | 8.5 |
| Range | 2.7 |
| Interquartile range (IQR) | 1.4 |
Descriptive statistics
| Standard deviation | 0.79565673 |
|---|---|
| Coefficient of variation (CV) | 0.11156018 |
| Kurtosis | -1.2865062 |
| Mean | 7.1320856 |
| Median Absolute Deviation (MAD) | 0.7 |
| Skewness | 0.03755439 |
| Sum | 2667.4 |
| Variance | 0.63306963 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 7.2 | 36 | 9.6% |
| 6 | 31 | 8.3% |
| 7.8 | 28 | 7.5% |
| 6.5 | 26 | 7.0% |
| 6.1 | 25 | 6.7% |
| 7.7 | 24 | 6.4% |
| 6.6 | 20 | 5.3% |
| 7.1 | 19 | 5.1% |
| 8.1 | 15 | 4.0% |
| 7.3 | 14 | 3.7% |
| Other values (17) | 136 |
| Value | Count | Frequency (%) |
| 5.8 | 2 | 0.5% |
| 5.9 | 4 | 1.1% |
| 6 | 31 | |
| 6.1 | 25 | |
| 6.2 | 12 | 3.2% |
| 6.3 | 13 | |
| 6.4 | 9 | 2.4% |
| 6.5 | 26 | |
| 6.6 | 20 | |
| 6.7 | 5 | 1.3% |
| Value | Count | Frequency (%) |
| 8.5 | 13 | |
| 8.4 | 14 | |
| 8.3 | 5 | 1.3% |
| 8.2 | 11 | 2.9% |
| 8.1 | 15 | |
| 8 | 13 | |
| 7.9 | 7 | 1.9% |
| 7.8 | 28 | |
| 7.7 | 24 | |
| 7.6 | 10 | 2.7% |
Quality of Sleep
Real number (ℝ)
| Distinct | 6 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.3128342 |
| Minimum | 4 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 6 |
| median | 7 |
| Q3 | 8 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 5 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.1969559 |
|---|---|
| Coefficient of variation (CV) | 0.1636788 |
| Kurtosis | -0.74827554 |
| Mean | 7.3128342 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.20744763 |
| Sum | 2735 |
| Variance | 1.4327035 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 8 | 109 | |
| 6 | 105 | |
| 7 | 77 | |
| 9 | 71 | |
| 5 | 7 | 1.9% |
| 4 | 5 | 1.3% |
| Value | Count | Frequency (%) |
| 4 | 5 | 1.3% |
| 5 | 7 | 1.9% |
| 6 | 105 | |
| 7 | 77 | |
| 8 | 109 | |
| 9 | 71 |
| Value | Count | Frequency (%) |
| 9 | 71 | |
| 8 | 109 | |
| 7 | 77 | |
| 6 | 105 | |
| 5 | 7 | 1.9% |
| 4 | 5 | 1.3% |
Physical Activity Level
Real number (ℝ)
| Distinct | 16 |
|---|---|
| Distinct (%) | 4.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59.171123 |
| Minimum | 30 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 30 |
| Q1 | 45 |
| median | 60 |
| Q3 | 75 |
| 95-th percentile | 90 |
| Maximum | 90 |
| Range | 60 |
| Interquartile range (IQR) | 30 |
Descriptive statistics
| Standard deviation | 20.830804 |
|---|---|
| Coefficient of variation (CV) | 0.35204341 |
| Kurtosis | -1.2660678 |
| Mean | 59.171123 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | 0.074486903 |
| Sum | 22130 |
| Variance | 433.92238 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 60 | 70 | |
| 30 | 68 | |
| 45 | 68 | |
| 75 | 67 | |
| 90 | 67 | |
| 40 | 6 | 1.6% |
| 55 | 6 | 1.6% |
| 35 | 4 | 1.1% |
| 50 | 4 | 1.1% |
| 70 | 3 | 0.8% |
| Other values (6) | 11 | 2.9% |
| Value | Count | Frequency (%) |
| 30 | 68 | |
| 32 | 2 | 0.5% |
| 35 | 4 | 1.1% |
| 40 | 6 | 1.6% |
| 42 | 2 | 0.5% |
| 45 | 68 | |
| 47 | 1 | 0.3% |
| 50 | 4 | 1.1% |
| 55 | 6 | 1.6% |
| 60 | 70 |
| Value | Count | Frequency (%) |
| 90 | 67 | |
| 85 | 2 | 0.5% |
| 80 | 2 | 0.5% |
| 75 | 67 | |
| 70 | 3 | 0.8% |
| 65 | 2 | 0.5% |
| 60 | 70 | |
| 55 | 6 | 1.6% |
| 50 | 4 | 1.1% |
| 47 | 1 | 0.3% |
Stress Level
Real number (ℝ)
| Distinct | 6 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.3850267 |
| Minimum | 3 |
|---|---|
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 4 |
| median | 5 |
| Q3 | 7 |
| 95-th percentile | 8 |
| Maximum | 8 |
| Range | 5 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.7745264 |
|---|---|
| Coefficient of variation (CV) | 0.32952974 |
| Kurtosis | -1.3273066 |
| Mean | 5.3850267 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.15432958 |
| Sum | 2014 |
| Variance | 3.1489441 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 3 | 71 | |
| 8 | 70 | |
| 4 | 70 | |
| 5 | 67 | |
| 7 | 50 | |
| 6 | 46 |
| Value | Count | Frequency (%) |
| 3 | 71 | |
| 4 | 70 | |
| 5 | 67 | |
| 6 | 46 | |
| 7 | 50 | |
| 8 | 70 |
| Value | Count | Frequency (%) |
| 8 | 70 | |
| 7 | 50 | |
| 6 | 46 | |
| 5 | 67 | |
| 4 | 70 | |
| 3 | 71 |
BMI Category
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| Normal | |
|---|---|
| Overweight | |
| Normal Weight | |
| Obese | 10 |
Length
| Max length | 13 |
|---|---|
| Median length | 6 |
| Mean length | 7.9491979 |
| Min length | 5 |
Characters and Unicode
| Total characters | 2973 |
|---|---|
| Distinct characters | 18 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Overweight |
|---|---|
| 2nd row | Normal |
| 3rd row | Normal |
| 4th row | Obese |
| 5th row | Obese |
Common Values
| Value | Count | Frequency (%) |
| Normal | 195 | |
| Overweight | 148 | |
| Normal Weight | 21 | 5.6% |
| Obese | 10 | 2.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| normal | 216 | |
| overweight | 148 | |
| weight | 21 | 5.3% |
| obese | 10 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 364 | |
| e | 337 | |
| N | 216 | 7.3% |
| m | 216 | 7.3% |
| a | 216 | 7.3% |
| l | 216 | 7.3% |
| o | 216 | 7.3% |
| h | 169 | 5.7% |
| t | 169 | 5.7% |
| i | 169 | 5.7% |
| Other values (8) | 685 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2973 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 364 | |
| e | 337 | |
| N | 216 | 7.3% |
| m | 216 | 7.3% |
| a | 216 | 7.3% |
| l | 216 | 7.3% |
| o | 216 | 7.3% |
| h | 169 | 5.7% |
| t | 169 | 5.7% |
| i | 169 | 5.7% |
| Other values (8) | 685 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2973 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 364 | |
| e | 337 | |
| N | 216 | 7.3% |
| m | 216 | 7.3% |
| a | 216 | 7.3% |
| l | 216 | 7.3% |
| o | 216 | 7.3% |
| h | 169 | 5.7% |
| t | 169 | 5.7% |
| i | 169 | 5.7% |
| Other values (8) | 685 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2973 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 364 | |
| e | 337 | |
| N | 216 | 7.3% |
| m | 216 | 7.3% |
| a | 216 | 7.3% |
| l | 216 | 7.3% |
| o | 216 | 7.3% |
| h | 169 | 5.7% |
| t | 169 | 5.7% |
| i | 169 | 5.7% |
| Other values (8) | 685 |
Blood Pressure
Categorical
| Distinct | 25 |
|---|---|
| Distinct (%) | 6.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| 130/85 | |
|---|---|
| 125/80 | |
| 140/95 | |
| 120/80 | |
| 115/75 | |
| Other values (20) |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 2244 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 0.8% |
Sample
| 1st row | 126/83 |
|---|---|
| 2nd row | 125/80 |
| 3rd row | 125/80 |
| 4th row | 140/90 |
| 5th row | 140/90 |
Common Values
| Value | Count | Frequency (%) |
| 130/85 | 99 | |
| 125/80 | 65 | |
| 140/95 | 65 | |
| 120/80 | 45 | |
| 115/75 | 32 | 8.6% |
| 135/90 | 27 | 7.2% |
| 140/90 | 4 | 1.1% |
| 125/82 | 4 | 1.1% |
| 132/87 | 3 | 0.8% |
| 128/85 | 3 | 0.8% |
| Other values (15) | 27 | 7.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 130/85 | 99 | |
| 140/95 | 65 | |
| 125/80 | 65 | |
| 120/80 | 45 | |
| 115/75 | 32 | 8.6% |
| 135/90 | 27 | 7.2% |
| 140/90 | 4 | 1.1% |
| 125/82 | 4 | 1.1% |
| 132/87 | 3 | 0.8% |
| 128/85 | 3 | 0.8% |
| Other values (15) | 27 | 7.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 420 | |
| / | 374 | |
| 0 | 357 | |
| 5 | 333 | |
| 8 | 244 | |
| 3 | 139 | 6.2% |
| 2 | 137 | 6.1% |
| 9 | 107 | 4.8% |
| 4 | 75 | 3.3% |
| 7 | 49 | 2.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2244 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 420 | |
| / | 374 | |
| 0 | 357 | |
| 5 | 333 | |
| 8 | 244 | |
| 3 | 139 | 6.2% |
| 2 | 137 | 6.1% |
| 9 | 107 | 4.8% |
| 4 | 75 | 3.3% |
| 7 | 49 | 2.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2244 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 420 | |
| / | 374 | |
| 0 | 357 | |
| 5 | 333 | |
| 8 | 244 | |
| 3 | 139 | 6.2% |
| 2 | 137 | 6.1% |
| 9 | 107 | 4.8% |
| 4 | 75 | 3.3% |
| 7 | 49 | 2.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2244 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 420 | |
| / | 374 | |
| 0 | 357 | |
| 5 | 333 | |
| 8 | 244 | |
| 3 | 139 | 6.2% |
| 2 | 137 | 6.1% |
| 9 | 107 | 4.8% |
| 4 | 75 | 3.3% |
| 7 | 49 | 2.2% |
Heart Rate
Real number (ℝ)
| Distinct | 19 |
|---|---|
| Distinct (%) | 5.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70.165775 |
| Minimum | 65 |
|---|---|
| Maximum | 86 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 65 |
|---|---|
| 5-th percentile | 65 |
| Q1 | 68 |
| median | 70 |
| Q3 | 72 |
| 95-th percentile | 78 |
| Maximum | 86 |
| Range | 21 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 4.1356755 |
|---|---|
| Coefficient of variation (CV) | 0.058941493 |
| Kurtosis | 2.2864547 |
| Mean | 70.165775 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.2248235 |
| Sum | 26242 |
| Variance | 17.103812 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 68 | 94 | |
| 70 | 76 | |
| 72 | 69 | |
| 65 | 67 | |
| 75 | 36 | 9.6% |
| 78 | 5 | 1.3% |
| 85 | 3 | 0.8% |
| 80 | 3 | 0.8% |
| 84 | 2 | 0.5% |
| 83 | 2 | 0.5% |
| Other values (9) | 17 | 4.5% |
| Value | Count | Frequency (%) |
| 65 | 67 | |
| 67 | 2 | 0.5% |
| 68 | 94 | |
| 69 | 2 | 0.5% |
| 70 | 76 | |
| 72 | 69 | |
| 73 | 2 | 0.5% |
| 74 | 2 | 0.5% |
| 75 | 36 | 9.6% |
| 76 | 2 | 0.5% |
| Value | Count | Frequency (%) |
| 86 | 2 | 0.5% |
| 85 | 3 | |
| 84 | 2 | 0.5% |
| 83 | 2 | 0.5% |
| 82 | 1 | 0.3% |
| 81 | 2 | 0.5% |
| 80 | 3 | |
| 78 | 5 | |
| 77 | 2 | 0.5% |
| 76 | 2 | 0.5% |
Daily Steps
Real number (ℝ)
| Distinct | 20 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6816.8449 |
| Minimum | 3000 |
|---|---|
| Maximum | 10000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 3000 |
|---|---|
| 5-th percentile | 4930 |
| Q1 | 5600 |
| median | 7000 |
| Q3 | 8000 |
| 95-th percentile | 10000 |
| Maximum | 10000 |
| Range | 7000 |
| Interquartile range (IQR) | 2400 |
Descriptive statistics
| Standard deviation | 1617.9157 |
|---|---|
| Coefficient of variation (CV) | 0.23734084 |
| Kurtosis | -0.3940306 |
| Mean | 6816.8449 |
| Median Absolute Deviation (MAD) | 1000 |
| Skewness | 0.17827733 |
| Sum | 2549500 |
| Variance | 2617651.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 8000 | 101 | |
| 6000 | 68 | |
| 5000 | 68 | |
| 7000 | 66 | |
| 10000 | 36 | 9.6% |
| 5500 | 4 | 1.1% |
| 3000 | 3 | 0.8% |
| 3500 | 3 | 0.8% |
| 4000 | 3 | 0.8% |
| 6800 | 3 | 0.8% |
| Other values (10) | 19 | 5.1% |
| Value | Count | Frequency (%) |
| 3000 | 3 | 0.8% |
| 3300 | 2 | 0.5% |
| 3500 | 3 | 0.8% |
| 3700 | 2 | 0.5% |
| 4000 | 3 | 0.8% |
| 4100 | 2 | 0.5% |
| 4200 | 2 | 0.5% |
| 4800 | 2 | 0.5% |
| 5000 | 68 | |
| 5200 | 2 | 0.5% |
| Value | Count | Frequency (%) |
| 10000 | 36 | 9.6% |
| 8000 | 101 | |
| 7500 | 2 | 0.5% |
| 7300 | 2 | 0.5% |
| 7000 | 66 | |
| 6800 | 3 | 0.8% |
| 6200 | 1 | 0.3% |
| 6000 | 68 | |
| 5600 | 2 | 0.5% |
| 5500 | 4 | 1.1% |
Sleep Disorder
Categorical
MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 219 |
| Missing (%) | 58.6% |
| Memory size | 3.1 KiB |
| Sleep Apnea | |
|---|---|
| Insomnia |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 9.5096774 |
| Min length | 8 |
Characters and Unicode
| Total characters | 1474 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sleep Apnea |
|---|---|
| 2nd row | Sleep Apnea |
| 3rd row | Insomnia |
| 4th row | Insomnia |
| 5th row | Sleep Apnea |
Common Values
| Value | Count | Frequency (%) |
| Sleep Apnea | 78 | 20.9% |
| Insomnia | 77 | 20.6% |
| (Missing) | 219 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| sleep | 78 | |
| apnea | 78 | |
| insomnia | 77 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 234 | |
| n | 232 | |
| p | 156 | |
| a | 155 | |
| S | 78 | 5.3% |
| l | 78 | 5.3% |
| 78 | 5.3% | |
| A | 78 | 5.3% |
| I | 77 | 5.2% |
| s | 77 | 5.2% |
| Other values (3) | 231 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1474 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 234 | |
| n | 232 | |
| p | 156 | |
| a | 155 | |
| S | 78 | 5.3% |
| l | 78 | 5.3% |
| 78 | 5.3% | |
| A | 78 | 5.3% |
| I | 77 | 5.2% |
| s | 77 | 5.2% |
| Other values (3) | 231 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1474 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 234 | |
| n | 232 | |
| p | 156 | |
| a | 155 | |
| S | 78 | 5.3% |
| l | 78 | 5.3% |
| 78 | 5.3% | |
| A | 78 | 5.3% |
| I | 77 | 5.2% |
| s | 77 | 5.2% |
| Other values (3) | 231 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1474 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 234 | |
| n | 232 | |
| p | 156 | |
| a | 155 | |
| S | 78 | 5.3% |
| l | 78 | 5.3% |
| 78 | 5.3% | |
| A | 78 | 5.3% |
| I | 77 | 5.2% |
| s | 77 | 5.2% |
| Other values (3) | 231 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Person ID | Gender | Age | Occupation | Sleep Duration | Quality of Sleep | Physical Activity Level | Stress Level | BMI Category | Blood Pressure | Heart Rate | Daily Steps | Sleep Disorder | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Male | 27 | Software Engineer | 6.1 | 6 | 42 | 6 | Overweight | 126/83 | 77 | 4200 | NaN |
| 1 | 2 | Male | 28 | Doctor | 6.2 | 6 | 60 | 8 | Normal | 125/80 | 75 | 10000 | NaN |
| 2 | 3 | Male | 28 | Doctor | 6.2 | 6 | 60 | 8 | Normal | 125/80 | 75 | 10000 | NaN |
| 3 | 4 | Male | 28 | Sales Representative | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Sleep Apnea |
| 4 | 5 | Male | 28 | Sales Representative | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Sleep Apnea |
| 5 | 6 | Male | 28 | Software Engineer | 5.9 | 4 | 30 | 8 | Obese | 140/90 | 85 | 3000 | Insomnia |
| 6 | 7 | Male | 29 | Teacher | 6.3 | 6 | 40 | 7 | Obese | 140/90 | 82 | 3500 | Insomnia |
| 7 | 8 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | NaN |
| 8 | 9 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | NaN |
| 9 | 10 | Male | 29 | Doctor | 7.8 | 7 | 75 | 6 | Normal | 120/80 | 70 | 8000 | NaN |
| Person ID | Gender | Age | Occupation | Sleep Duration | Quality of Sleep | Physical Activity Level | Stress Level | BMI Category | Blood Pressure | Heart Rate | Daily Steps | Sleep Disorder | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 364 | 365 | Female | 59 | Nurse | 8.0 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 365 | 366 | Female | 59 | Nurse | 8.0 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 366 | 367 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 367 | 368 | Female | 59 | Nurse | 8.0 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 368 | 369 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 369 | 370 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 370 | 371 | Female | 59 | Nurse | 8.0 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 371 | 372 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 372 | 373 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |
| 373 | 374 | Female | 59 | Nurse | 8.1 | 9 | 75 | 3 | Overweight | 140/95 | 68 | 7000 | Sleep Apnea |